Flare Emissions Control Using Predictive Sensor-Based Decisions
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Solution Overview
Problem
Operators of hydrocarbon sites face challenges in accurately determining and optimizing emission costs of flares over both current and future time frames, as existing sensor measurements are insufficient for precise control and optimization of flare operations.
Innovation Solution
A system and method that utilizes sensor data from sensing units to determine control decisions for controllable elements of the flare, optimizing operations to meet emission thresholds through a model-based approach, including cloud-based computing for advanced data analysis and optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor measurements are used to monitor emission costs, then real-time emission data can be obtained, but the accuracy and predictive capability for future emission costs is insufficient
Solution Approach 1:
The system performs preliminary calculations and predictions of future emission costs using sensor data and predictive models before the actual emission events occur. This allows operators to anticipate future emission costs and adjust flare operations proactively to optimize emission outcomes.
Solution Approach 2:
A predictive modeling system acts as an intermediary between raw sensor measurements and emission cost determination. The model processes sensor data, incorporates predictive algorithms, and generates accurate future emission cost predictions, bridging the gap between current measurements and future predictions.
2Ease of operation
If manual monitoring and control of flare operations is used, then operational flexibility is maintained, but optimization of emission costs over future time frames is not achievable
Solution Approach 1:
The system implements a closed-loop feedback mechanism where sensor data from flare operations is continuously monitored, processed through predictive models, and used to generate optimized control recommendations. This feedback loop enables automated optimization of emission costs while maintaining operational flexibility through operator review and adjustment capabilities.
Solution Approach 2:
The predictive modeling system automatically performs emission cost calculations, predictions, and optimization recommendations without requiring manual intervention for each calculation. The system serves itself by continuously processing sensor data and generating optimized control strategies, reducing the burden on operators while improving optimization capability.
3Reliability
If existing sensor measurement systems are used, then current emission monitoring is possible, but sufficient accuracy for control and optimization decisions is not achieved
Solution Approach 1:
A predictive modeling system serves as an intermediary layer between existing sensor measurements and emission cost determination. This intermediary processes raw sensor data, applies predictive algorithms, and generates accurate emission cost predictions, enhancing the precision of existing monitoring systems without requiring complete system replacement.
Solution Approach 2:
The system transforms raw sensor measurement parameters into meaningful emission cost parameters through predictive modeling. By changing the parameters from basic sensor readings to optimized emission cost predictions, the system achieves sufficient accuracy for control and optimization decisions while maintaining compatibility with existing sensor infrastructure.
Data Source
AI summary
A method for operating a flare includes obtaining sensor data associated with emissions of the flare from sensors of a sensing unit associated with the flare. The method also includes determining, based on the sensor data, one or more control decisions for at least one controllable element associated with the flare to achieve a control objective for the flare. The control objective is associated with the emissions of the flare. The method also includes generating display data corresponding to the one or more control decisions. The method also includes operating a display device to provide the display data to a user.